Triple

T3276963
Position Surface form Disambiguated ID Type / Status
Subject Moana E68779 entity
Predicate characterIn P12208 FINISHED
Object Tala
Tala is the 2016 Disney animated film set in ancient Polynesia that follows the adventurous journey of a young girl chosen by the ocean to restore balance to her island.
 E345367 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Tala | Statement: [Moana, characterIn, Tala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tala
Context triple: [Moana, characterIn, Tala]
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Tola
    Tola is a minor judge of Israel mentioned in the biblical Book of Judges, known for leading and delivering Israel for 23 years after the time of Abimelech.
  • C. Sumaré
    Sumaré is a municipality in southeastern Brazil located in the interior region of the state of São Paulo, known for its industrial activity and integration into the Campinas metropolitan area.
  • D. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • E. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tala
Triple: [Moana, characterIn, Tala]
Generated description
Tala is the 2016 Disney animated film set in ancient Polynesia that follows the adventurous journey of a young girl chosen by the ocean to restore balance to her island.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tala
Target entity description: Tala is the 2016 Disney animated film set in ancient Polynesia that follows the adventurous journey of a young girl chosen by the ocean to restore balance to her island.
  • A. Tianeti
    Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
  • B. Tola
    Tola is a minor judge of Israel mentioned in the biblical Book of Judges, known for leading and delivering Israel for 23 years after the time of Abimelech.
  • C. Sumaré
    Sumaré is a municipality in southeastern Brazil located in the interior region of the state of São Paulo, known for its industrial activity and integration into the Campinas metropolitan area.
  • D. Lipara
    Lipara is one of the Hesperides, the nymphs of Greek mythology associated with the evening and the golden apples of the gods.
  • E. Negaraku
    Negaraku is the national anthem of Malaysia, symbolizing the country's sovereignty and unity.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e84a3c2c8190908152fc042fcad1 completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e939460481909743b49e274b693e completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2ecfd3c20819089bc0b2141aee8eb completed March 12, 2026, 4:42 p.m.
Created at: March 8, 2026, 3:10 p.m.